df.columns

df.columns

Returns the column labels of the DataFrame.

Note:

• The return type is bpd.Index. Use np.array() to convert it to a numpy array.

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pets

Index	ID	Species	Color	Weight	Age	Is_Cat	Owner_Comment
0	dog_001	dog	black	40	5	False	There are no bad dogs, only bad owners.
1	cat_001	cat	golden	1.5	0.2	True	My best birthday present ever!!!
2	cat_002	cat	black	15	9	True	****All you need is love and a cat.****
3	dog_002	dog	white	80	2	False	Love is a wet nose and a wagging tail.
4	dog_003	dog	black	25	0.5	False	Be the person your dog thinks you are.
5	ham_001	hamster	black	1	3	False	No, thank you!
6	ham_002	hamster	golden	0.25	0.2	False	No, thank you!
7	cat_003	cat	black	10	0	True	No, thank you!

pets_cols = pets.columns
pets_cols

Index(['ID', 'Species', 'Color', 'Weight', 'Age', 'Is_Cat', 'Owner_Comment'], dtype='object')

Convert index to a numpy array. Learn more about this in the Data Format Conversion section.

col_arr = np.array(col_lst)
col_arr

array(['ID', 'Species', 'Color', 'Weight', 'Age', 'Is_Cat', 'Owner_Comment'], dtype=object)